Abstract: A fracturing system includes an energy storage having a battery and a switch, a switch cabinet, a plurality of transformers, a plurality of rectifiers, and a plurality of inverters respectively corresponding to and connected with a plurality of fracturing apparatuses. The switch cabinet is connected with the plurality of transformers. The plurality of transformers are respectively connected with the plurality of rectifiers. Each of the plurality of rectifiers is directly connected with a DC bus and the energy storage. The DC bus is directed connected to the plurality of inverters. The energy storage is directly electrically connected with the DC bus or each of the plurality of inverters. The energy storage is configured to power the plurality of fracturing apparatuses.

Abstract: A fruit-on-tree sizing device includes a lower annular disc and an upper annular disc, from which first flexible arms and second flexible arms, with curved configuration, start internally, in opposite directions, and which respectively form a lower opening and an upper opening wherein the fruit is positioned. As the diameter of the fruit increases, the first flexible arms and the second flexible arms force the upper annular disc and the lower annular disc to rotate on themselves, in opposite directions. The device further includes a reading module intended for quantifying the relative movement of the upper annular disc with respect to the lower annular disc, and transmitter which transmits the measurements obtained to an external device.

Abstract: A method of forecasting transport of a region of plasma density enhancement within a polar region is provided. The method comprises: providing a convection model for predicting electrostatic potential distribution within the polar region over time; determining the total electron content distribution within the polar region; and determining whether reconnection is occurring. If reconnection is determined to be occurring, the method comprises: identifying a region of plasma density enhancement using the total electron content distribution; and calculating a velocity of at least a portion of the plasma density enhancement using the convection model, such that transport of a region of plasma density enhancement over time can be forecast.

Abstract: A method is provided for use in a sensor, the method comprising: selecting a switching cycle for the sensor; transitioning the sensor into a state in which at least one component of the sensor is periodically turned on and off in accordance with the switching cycle; sampling an analog signal to generate a sampled signal, the analog signal being generated by at least one sensing element, the analog signal being sampled only during periods in which the at least one component of the sensor is turned on; and generating an output signal based, at least in part, on the sampled signal and outputting the output signal.

Abstract: Systems and methods include a computer-implemented method for analyzing petroleum samples. Different boiling curves are received that are calculated for a petroleum sample using different analytical speciation techniques. The boiling curves include: 1) a detailed hydrocarbon analysis (DHA) is used for a speciation of light-end components of the petroleum sample; 2) a comprehensive 2-dimensional (2D) gas chromatography (GCxGC) is used for a speciation of a middle distillates range of the petroleum sample; and 3) a high-resolution mass spectrometry is used for a speciation of heavy-end components of the petroleum sample. A compositional coverage of the different analytical speciation techniques for the petroleum samples is determined using the different boiling curves. Each of the different analytical speciation techniques covers a different boiling range and produces a compositional model modeling a breakdown of components in the petroleum sample by carbon number, aromatic ring family, and heteroatom class.

Abstract: A method for determining a status of a fuse element are provided. The method includes providing the memory device including a first terminal and a second terminal; applying a first power signal on the first terminal of the semiconductor device, wherein the memory device includes a configurable reference resistor unit electrically coupled to the fuse element; obtaining an evaluation signal, in response to the first power signal, at the second terminal of the memory device; and identifying the evaluation signal to determine whether the memory device is redundant.

Abstract: A method of mapping a moisture level of a cut crop in a field includes identifying a cut time at which the cut crop was cut in the field. Elevation data, soil data, and weather data of the field are retrieved. A soil moisture map is then created to define a respective soil moisture level of the soil for each of a plurality of elevation zones in the field. The soil moisture map is based on a cut time, the elevation data, the soil data, and the weather data. A crop moisture map is then created to define a crop moisture level of the cut crop in each of the plurality of elevation zones in the field. The crop moisture map is based on the soil moisture map. By using the soil moisture map, the crop moisture map correlates the elevation data to the moisture levels of the cut crop.

Abstract: A method of analyzing the shape of an object using a LiDAR sensor includes determining the first to Mth shapes of first to Mth layers (where M is a positive integer of 2 or more) related to a target object using clustered LiDAR points and analyzing the determined first to Mth shapes according to a predetermined priority to determine the shape of the target object.

Abstract: Methods and systems are provided that characterize and evaluate well integrity of a cased well using unsupervised machine learning of acoustic data. Sonic waveform data for acoustic signals received by the receiver array of a sonic logging tool is collected and processed to determine a high-dimensional representation of the sonic waveform data. The high-dimensional representation is input to an unsupervised machine learning system to determine a low-dimensional representation of the sonic waveform data. A clustering method is applied to the low-dimensional representation to identify a set of clusters therein. At least one well integrity property of the depth interval of the cased well is determined based on the set of clusters. In embodiments, the at least one well integrity property can characterize cement condition in an annulus of the cased well as a function of azimuth and depth and can be used to evaluate cement integrity in a depth interval of the cased well.

Abstract: A method for predicting snowmelt flood is provided. The method includes: acquiring rain and snow fall distribution data in a target area in a preset time period, and extracting precipitation characteristic data according to the rain and snow fall distribution data; acquiring temperature distribution data in the target area, acquiring a target temperature and a corresponding target time according to the temperature distribution data, and determining temperature characteristic data according to the target temperature and the target time; and determining a snowmelt flood risk level in the target area according to the precipitation characteristic data and the temperature characteristic data.

Abstract: A system for determining a fold angle of a foldable device includes a plurality of electrodes and a processing system. The plurality of electrodes includes at least one first electrode and at least one second electrode, wherein the at least one second electrode is farther from a fold line of the foldable device than the at least one first electrode. The processing system is configured to: obtain at least one first absolute capacitance measurement via the at least one first electrode and at least one second absolute capacitance measurement via the at least one second electrode; and determine a fold angle of the foldable device based on the at least one first absolute capacitance measurement and the at least one second absolute capacitance measurement.

Abstract: The invention discloses a method for correcting differential pressure values of a fire extinguishing agent concentration analyzer in the engine compartment of an aircraft, the analyzer, and a readable storage media thereof. The method includes: correcting theoretical differential pressure values of the analyzer; measuring actual differential pressure values of the analyzer under different pressure; obtaining a series of corrected viscosity coefficients accordingly; obtaining a relation accordingly; setting a corrected model to replace the original model of the analyzer. It is solved for the problem that the noise influence caused by the pressure of flight environment cannot be overcome in the test of extinguishing agent concentration in aircraft engine compartment.

Abstract: An online stress monitoring system is used to obtain a stress distribution of each position, a geophone monitoring system is used to monitor high-frequency vibration signals produced by coal and rock fracture, a support resistance monitoring system is used to monitor working resistance of hydraulic supports in a working face, a well-ground joint microseismic system is used to monitor low-frequency vibration signals produced by the coal and rock fracture, and realize position of a microseismic source and inversion imaging of mining fractures, and an anchor stress monitoring system is used to monitor stress states of anchor bolts and cables. A data processing center is used to comprehensively process data obtained from the above five systems using an early warning model, thereby to obtain a prediction result of rock burst and determine whether to make early warning, thus workers can take timely measures according to the early warning situation.

Abstract: A system for reconstructing a magnetic particle image based on adaptive optimization of regularization terms includes: a MPI device for scanning an imaging object to acquire a voltage response signal; a signal processor for constructing a system matrix; and a control processor for reconstructing the magnetic particle image based on an arbitrarily selected regularization term, inputting the reconstructed magnetic particle image to a regularization-term adaptive optimization neural network model for enhancement processing, taking the enhanced magnetic particle image as a first image, and calculating a loss value between the first image and an initial image to acquire a final reconstructed magnetic particle image. The system adopts a neural network model-based automatic learning approach, instead of the approach of manually selecting regularization terms and adjusting parameters, to improve the reconstruction efficiency and quality of the magnetic particle image.

Abstract: A computer-readable medium may include instructions that may cause a processor to perform operations that may include receiving audio data representative of sound waves generated by industrial devices and extracting features from the audio data. The features may be representative of a portion of the audio data. The operations may also include identifying a subset of the features based on distances between each of the plurality of features in an information space. The information space may include known clusters. The operations may then include determining that the subset of the features corresponds to an unknown cluster in the information space, performing a constrained classification operation based on each feature of the subset of the features to identify a new known cluster for the information space, and modifying operations of the industrial devices based on the new known cluster.

Abstract: The present disclosure provides a method for assessing GCS capacity. The method includes: determining scores of a plurality of geologic indicators of a target region belonging to a target type of geologic body for the GCS; and determining an assessment result of the GCS capacity of the target region based on the scores of the plurality of geologic indicators and weights of the plurality of geologic indicators.

Abstract: Systems for weather sensing and forecasting, and associated devices and methods, are disclosed herein. In some embodiments, a system for predicting a subject's perception of weather conditions is provided. The system can generate an individual profile for the subject, the individual profile including health information of the subject. The system can receive weather data including a first weather condition for a target location. The system can compare the individual profile to a plurality of different user profiles to identify one or more similar user profiles. Each similar user profile can (1) be associated with a user having similar health information as the subject, and (2) include weather perception data indicating how the user perceived a set of second weather conditions. Based on the weather data and the similar user profile(s), the system can generate a prediction of the how the subject will perceive the first weather condition.

Abstract: A method of calculating a return period wind speed for a proposed wind turbine site is provided. Wind speed measurements and modeled wind speeds associated with the proposed site are provided. The measured and modeled wind speeds are transformed into the frequency domain, and combined to generate a hybrid spectrum. The hybrid spectrum is transformed into the time domain to generate a set of hybrid wind speed measurements, which are used to calculate the return period wind speed.

Abstract: Systems and methods for converting live weather data to a weather index for offsetting weather risk. Weather data source systems generate one or more weather data streams that include weather forecast model and observations data. A data distribution system receives a weather index request, identifies at least one instrument and at least one location associated with the request. Weather risk indication data is extracted among the weather data streams associated with the identified location based on predefined parameters associated with the identified instrument. The extracted data is converted into a set of weather index values corresponding to the location, based on a predetermined algorithm associated with the identified instrument. A weather index presentation package is generated that includes the set of weather index values for distribution to at least one user device. The weather index presentation package being distributed is updated concurrent with changes to weather risk indication data.

Abstract: The present disclosure relates to a fracturing system comprising a functional unit, an electricity supply unit and an energy storage unit. The functional unit is configured to perform procedures of fracturing operations. The electricity supply unit is electrically connected with the functional unit and is configured to supply electrical energy to the functional unit. The energy storage unit is respectively electrically connected with the electricity supply unit and the functional unit, and is configured to store electrical energy from the electricity supply unit and supply electrical energy to the functional unit.